Data Engineer Jobs for AI Teams
Data Engineers build the data infrastructure that powers AI and ML systems. They design pipelines, manage data lakes, and ensure high-quality data flows to the models and teams that need it.
Last updated: May 13, 2026
Latest Data Engineer Jobs
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Junior Data Engineer
Data engineer
India - Senior Data Engineer
India - Senior Data Engineer
Data Engineer
Azure Data Engineer
D365 Customer Insight Data Engineer
Data Engineer Intern
Data Engineer
Junior data engineer
Software & Data Engineer
Cloud Data Engineer
Analytics Data Engineer
Data Engineer
Data Engineer - Singapore
Data Engineer
Senior Data Engineer
Senior Data Engineer
(Junior) Data Engineer (m/f/d)
Frequently Asked Questions
How is a Data Engineer different from a Data Scientist?
Data Engineers focus on building and maintaining the data infrastructure, pipelines, and storage systems that power AI and ML workflows, while Data Scientists focus on analyzing data and building models. Data Engineers are essential for AI pipeline infrastructure, ensuring clean, reliable data flows to models at scale. Core tools include Apache Spark, Airflow, dbt, and cloud platforms, with strong SQL and Python skills being non-negotiable requirements. While Data Scientists earn an average of $117K, Data Engineers with AI-focused infrastructure experience often command similar or higher compensation due to the critical nature of their work.
What tools do Data Engineers use?
Data Engineers rely on a robust toolkit centered around Apache Spark for distributed data processing, Apache Airflow for workflow orchestration, and dbt for data transformations. Strong SQL and Python proficiency are required across virtually all Data Engineering positions, forming the foundation of the role. Cloud platform expertise in AWS, GCP, or Azure is essential as most modern data infrastructure runs in the cloud. Additional tools like Kafka for streaming data, Snowflake or BigQuery for data warehousing, and Terraform for infrastructure-as-code round out the modern Data Engineer's skill set.
What is the career outlook for Data Engineers in AI?
Data Engineers are increasingly critical to AI teams, as the quality and availability of training data directly impacts model performance. The broader AI job market saw 35,445 openings in Q1 2025, up 25.2% year-over-year, and Data Engineers who specialize in AI pipeline infrastructure are especially sought after. As companies scale their ML operations, the need for reliable data pipelines, feature stores, and real-time data systems continues to grow alongside the MLOps market's projected expansion to $21.1 billion by 2026. AI-focused Data Engineers benefit from the 25% salary premium that AI skills command over non-AI tech peers.
AI Job Insights for Data Engineer Jobs
Salary Range (Yearly, USD)
$160 - $400K
Median $150K from 64 listings with salary data
Top Companies Hiring
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Common Roles
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